DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo - ScienceDirect
Frontiers | Implementation of a combined bioinformatics and experimental approach to address lncRNA mechanism of action: The example of NRIR
dSPRINT: Machine learning for uncovering protein-ligand interaction sites - Princeton Insights
![PDF] DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/5d68bdf0391af25147a48171a54fea49d64d16d4/2-Figure1-1.png "PDF] DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. | Semantic Scholar")
PDF] DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. | Semantic Scholar
IJMS | Free Full-Text | DeepDISE: DNA Binding Site Prediction Using a Deep Learning Method
Overview of TF binding site prediction task. a) Transcription factors... | Download Scientific Diagram
Online Analysis Tools - Motifs
Predicting Target DNA Sequences of DNA-Binding Proteins Based on Unbound Structures | PLOS ONE
DNA-binding domain - Wikipedia
Transcription factor prediction for human NF-κB with TFpredict and... | Download Scientific Diagram
Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture: Molecular Therapy - Nucleic Acids
PreDBA: A heterogeneous ensemble approach for predicting protein-DNA binding affinity | Scientific Reports
Alignment of DNA binding domain in LuxR regulators and prediction of... | Download Scientific Diagram
Context influences on TALE–DNA binding revealed by quantitative profiling | Nature Communications
MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou's Five-Step Rule | Journal of Proteome Research
![Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/11262/1/fig-1-2x.jpg "Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning [PeerJ]")
Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning [PeerJ]
Using machine learning to predict the structure of proteins that bind to DNA and RNA | Nature Methods
Physicochemical models of protein–DNA binding with standard and modified base pairs | PNAS
Structure and domain prediction of XreR2 and XreR1. A The 69 amino... | Download Scientific Diagram
Frontiers | Prediction of DNA-Binding Protein–Drug-Binding Sites Using Residue Interaction Networks and Sequence Feature
DNA Binding Site - an overview | ScienceDirect Topics
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks | BMC Genomics | Full Text
Four major steps in structure-based prediction of transcription factor... | Download Scientific Diagram
DNAbinder: A Web server for prediction of DNA-binding proteins
Structural insights into the DNA-binding specificity of E2F family transcription factors | Nature Communications
